Project Description
Exploring the scope for application of Deep reinforcement learning and deep learning based SOTA models
as control surrogates, working on the computer vision and agentic APIs for daily operation and support
assistance of process plant systems.
Experience
- Assistant Manager, Production, Atmospheric and Vacuum Unit, Paradip Refinery, Indian Oil Corporation
Limited 3 Years
- Sr. Engineer, Production, Atmospheric and Vacuum Unit, Paradip Refinery, Indian Oil Corporation
Limited 3 Years
Publications and Presentations
Journal Publications
S Tenneti, PD Divya, ESS Tejaswini, R Randhi, SR Ambati, Interpretability and
performance assessment of advanced machine learning models for α-factor
prediction in wastewater treatment plants,Journal of Water Process Engineering. 72, 107637.
P Reshma, S Tenneti, P Sasmal & R Randhi, Learned-MAP-OMP: An unrolled neural
network
for signal and image denoising, Journal of Visual Communication and Image Representation.
104592.
SG Subramanian, M Chakraborty, S Tenneti, S DasGupta, Electrodewetting and Wetting
of an Extended Meniscus, Langmuir
34 (34), 9897-9906.
S Tenneti, SG Subramanian, M Chakraborty, G Soni, S DasGupta, Magnetowetting of
ferrofluidic thin liquid
films , Scientific Reports. 7 (1), 44738.
S Mishra,S Tenneti, Effect of operational parameters on biogas production using
tomato waste as substrate and cow dung as inoculating medium, IJSR 4 (5), 148-152
Conference Presentation
Srinivas Tenneti, Seshagiri Rao Ambati, Ramunaidu Randhi “Reinforcement Learning-Based Control of
BSM2 Plant: A Comparative analysis of PID
and RL Architectures”, IICHE CHEMCON 2025
Srinivas Tenneti, Seshagiri Rao Ambati, Ramunaidu Randhi. "Advanced Deep Learning Approach for
Multivariate time series forecasting
of influent quality parameters of Wastewater treatment plants”, NITK-CREST 2025.
P Reshma, P Pradhan, H Singh, S Tenneti, P Sasmal, R Randhi. "Deep Learned-CoSaMP Network for
Signal Denoising”, 2025 International Conference on Sampling Theory and Applications (SampTA), 1-5.
Education
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